Objectives: The present study investigated the extent to which AI use and opinions about its use will vary by academic stage and academic task in ways that align with Budwig's (2013) developmental stages. Methods: We surveyed 1,259 students from different academic stages (first-year students, sophomores, juniors, seniors, and graduate students) at…

This paper presents the results of integrating learning analytics into the assessment process to enhance academic integrity in the e-learning environment. The goal of this research is to evaluate the computational-based approach to academic integrity. The machine-learning based framework learns students' patterns of language use from data,…

For the thirty-sixth year, the Research and Theory Division of the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented at the annual AECT Convention in Anaheim, California. The Proceedings of AECT's Convention are published in two…